Synthical: 讓科學更簡單

Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.

用來閱讀、理解與撰寫科學論文的 AI 研究平台

面向同儕審查文獻的 AI 學術搜尋引擎

面向科學論文的 AI 摘要與學習指南

Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.

ResearchPal is an AI research workspace that searches academic sources, generates citation-backed literature reviews, answers questions from your own PDFs, and helps draft and polish scholarly writing.

面向循證文獻回顧與綜整的 AI 研究助手

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.

用視覺化論文圖譜探索學術文獻

WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.

OpenRead is an AI research platform that lets you search across a huge corpus of scholarly papers, ask questions of individual documents or whole collections, compare findings, and keep notes in one connected workspace.

為文獻回顧與可稽核系統性回顧打造的 AI 原生研究工作台